Cunjia Liu
Papers
16
Total Citations
359
H-Index
8
About
Cunjia Liu is a prominent researcher whose work sits at the intersection of autonomous robotics, aerial systems, and environmental monitoring. He is best known for his pioneering contributions to **source term estimation (STE)** — the challenge of locating and characterizing hazardous atmospheric releases using mobile and aerial robots. His 2018 paper on information-based search using mobile robots (101 citations) established a foundational Bayesian framework for this problem, while subsequent work on UAV deployment and dual control strategies for exploitation and exploration (42 citations) has advanced the field toward practical real-world applications. Liu's research extends into aerial manipulation, with his ESO-based tracking control framework for quadcopter-mounted robotic arms earning 74 citations since 2023 — a testament to its rapid impact. He has also made significant contributions to gas distribution mapping in complex, cluttered environments, developing real-time 3D algorithms and informative path planning strategies that push robotic sensing beyond open-space assumptions. Earlier work on model predictive control for autonomous helicopters (2011, 31 citations) demonstrates a career-long commitment to intelligent aerial autonomy. Across his portfolio, Liu's research combines rigorous probabilistic methods with hands-on experimental validation, making his contributions both theoretically grounded and operationally relevant to emergency response and environmental safety.
Research Focus
Key Achievements
Top Papers
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- 2ESO-Based Robust and High-Precision Tracking Control for Aerial Manipulation74 citations · 2023
- 3Dual Control for Exploitation and Exploration (DCEE) in autonomous search42 citations · 2021
- 4Piecewise constant model predictive control for autonomous helicopters31 citations · 2011
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